code: def get_result(self, embeddings, labels):
      out = functions.discriminative_margin_based_clustering_loss(
          embeddings,
          labels,
          self.delta_v,
          self.delta_d,
          self.max_n_clusters,
          self.norm,
          self.alpha,
          self.beta,
          self.gamma,
      )
      return out
  
file_path: chainer/tests/chainer_tests/functions_tests/loss_tests/test_discriminative_margin_based_clustering_loss.py
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestDiscriminativeMarginBasedClusteringLoss obj's underlying member method code with example usage: obj.get_result(embeddings, labels) and returns: out